Automation, AI, and the Intergenerational Transmission of Knowledge

Fuente: arXiv
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Main Author: Ide, Enrique
Format: Preprint
Published: 2025
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author Ide, Enrique
author_facet Ide, Enrique
contents Motivated by concerns that AI-driven entry-level automation may deprive new generations of valuable work experience, this paper studies how technological change affects the intergenerational transmission of tacit knowledge -- practical, hard-to-codify skills acquired through workplace interaction. I develop a task-based overlapping-generations model in which novices acquire tacit knowledge by working alongside experts. Knowledge-transfer contracts are incomplete because tacit knowledge is embodied and non-verifiable. In equilibrium, endogenous growth arises because only the most knowledgeable experts manage production and transmit their expertise to multiple novices, diffusing best practices. I show that improvements in entry-level automation increase output on impact but can reduce growth and welfare, even without reducing entry-level employment. This occurs when such improvements reallocate novices away from the most productive experts, weakening the diffusion of best practices. By contrast, technological improvements that increase the span of control of the most productive experts -- such as those that create new labor-intensive tasks -- strengthen knowledge transmission and raise growth.
format Preprint
id arxiv_https___arxiv_org_abs_2507_16078
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Automation, AI, and the Intergenerational Transmission of Knowledge
Ide, Enrique
General Economics
Economics
Motivated by concerns that AI-driven entry-level automation may deprive new generations of valuable work experience, this paper studies how technological change affects the intergenerational transmission of tacit knowledge -- practical, hard-to-codify skills acquired through workplace interaction. I develop a task-based overlapping-generations model in which novices acquire tacit knowledge by working alongside experts. Knowledge-transfer contracts are incomplete because tacit knowledge is embodied and non-verifiable. In equilibrium, endogenous growth arises because only the most knowledgeable experts manage production and transmit their expertise to multiple novices, diffusing best practices. I show that improvements in entry-level automation increase output on impact but can reduce growth and welfare, even without reducing entry-level employment. This occurs when such improvements reallocate novices away from the most productive experts, weakening the diffusion of best practices. By contrast, technological improvements that increase the span of control of the most productive experts -- such as those that create new labor-intensive tasks -- strengthen knowledge transmission and raise growth.
title Automation, AI, and the Intergenerational Transmission of Knowledge
topic General Economics
Economics
url https://arxiv.org/abs/2507.16078